Tabla de Contenidos: “…When you don't know your Audience in Advance -- In Summary -- Preparing for the Communication -- Gathering and Organizing all the Necessary Support Data -- Finalizing the Mode of Communication -- Deciding the Location of Communication -- Ensuring that all the Infrastructural Elements are in Order -- Notifying all the Participants with Agenda Items and Logistical Details -- Ensuring that the Execution is Perfect -- In Summary -- Listening Skills -- Steps in Active Listening -- In Summary -- Body Language -- Postures -- The use of Hands -- Eye Contact -- Gestures -- What do you do in the Absence of Body-Language Avenues -- In Summary -- Vocal Variety: Using the Voice Channel -- Components of Vocal Variety -- Pronunciation and Articulation -- Emphasis -- Pace -- Pitch -- Volume -- Pauses and Fillers -- How do i Improve the Effectiveness of the Vocal Channel -- In Summary -- Visual Aids -- Types of Visual Aids -- Power Point Components -- Slides -- Graphics -- Use of Transitions and Animations -- Some Special Usages and Features -- In Summary -- Putting it all Together -- Organizing -- Introduction or 'Tell Them What You are Goingto Tell Them' Part -- Body of the Presentation: 'Tell Them' -- Conclusion-'Tell Them What You Told Them' -- Putting it Together -- Embellishing -- Rehearsing -- Actualization: get over Nervousness and go for it -- Odds and Ends -- How Much of this Applies to Written Communication -- Should we Distribute Copies of Slides -- Potential Embarrassing Moments -- In Summary -- Resumé Writing -- Principles of Writing a Resumé -- The Process of Putting Together a Resumé -- The Structure and Contents of a Resumé -- Some Miscellaneous Topics -- In Summary: Some dos and don'ts While Writing a Resumé -- Interviews -- Some Basic Premises a bout Interviews -- Typical Selection Process -- Before the Interview -- Interview…”

Tabla de Contenidos: “…. -- Software setup and configuration -- Installing Ubuntu onto our Raspberry Pi 3B+ -- Running the installation script -- Creating alarm code for the Pico H -- Testing and controlling the motors -- Testing communication between Pi and Pico -- Testing the ToF sensor…”

Tabla de Contenidos: “…-- 2.5 QR and Cholesky Factorization -- 2.6 Power Method for Leading Eigenvectors -- 2.7 Least Squares Solution of Overdetermined Linear Equations -- 2.8 Efficient Implementation of the LS Solution -- 2.9 Iterative Methods -- Chapter 3 Random Variables in Brief -- 3.1 Probability Density Function (pdf), Moments, and Other Useful Properties -- 3.2 Convexity and Jensen Inequality -- 3.3 Uncorrelatedness and Statistical Independence -- 3.4 Real-Valued Gaussian Random Variables…”

Tabla de Contenidos: “…Machine generated contents note: Chapter 1: Introduction to High Performance Drives 1.1 Preliminary Remarks 1.2 General Overview of High Performance Drives 1.3 Challenges and Requirements for Electric Drives for Industrial Applications 1.4 Organization of the Book References Chapter 2: Mathematical and Simulation Models of AC Machines 2.1 Preliminary Remarks 2.2 DC Motors 2.2.1 Separately Excited DC Motor Control 2.2.2 Series DC Motor Control 2.3 Squirrel Cage Induction Motor 2.3.1 Space vector representation 2.3.2 Per unit model of Induction Motor 2.3.3 Double Fed Induction Generator (DFIG) 2.4 Mathematical Model of Permanent Magnet Synchronous Motor Problems References Chapter 3: Pulse Width Modulation of Power Electronic DC-AC Converter 3.1 Preliminary Remarks 3.2 Classification of Pulse Width Modulation Schemes for Voltage source inverter 3.3 Pulse Width Modulated Inverters 3.3.1 Single Phase Half Bridge Inverters 3.3.1.1 Matlab/Simulink Model of Half Bridge Inverter 3.3.2 Single Phase Full Bridge Inverters 3.3.2.1 Matlab/Simulink Model of Single-phase Full-Bridge Inverter 3.4 Three-phase PWM voltage source inverter 3.4.1 Carrier based Sinusoidal PWM 3.4.2 Third Harmonic Injection Carrier-based PWM 3.4.3 Carrier-based PWM With Offset Addition 3.4.4 Space Vector PWM 3.4.5 Discontinuous Space Vector PWM 3.4.6 Matlab/Simulink Model for space vector PWM 3.4.7 Space Vector PWM in Over-modulation Region 3.4.8 Artificial Neural Network Based PWM 3.5 Relationship Between Carrier-based PWM and Space Vector PWM 3.6 Multi-level Inverters 3.6.1 Diode Clamped Multi-level Inverters 3.6.2 Flying Capacitor Type Multi-level Inverter 3.6.3 Cascaded H-Bridge Multi-level Inverter 3.7 Impedance Source or Z-Source Inverter 3.7.1 Circuit Analysis 3.7.2 Carrier-based Simple Boost PWM control of a Z-source Inverter 3.7.3 Carrier-based Maximum Boost PWM control of a Z-source Inverter 3.7.4 Matlab/Simulink model of Z-source inverter 3.8 Quasi Impedance Source or qZSI Inverter 3.8.1 Matlab/Simulink model of qZ-source inverter 3.9 Dead Time Effect in a Multi-phase Inverter 3.10 Summary References Chapter 4: Field Oriented Control of AC Machines 4.1 Introduction 4.2 Induction Machines Control 4.2.1 Control of Induction Motor using V/f method 4.2.2 Vector Control of Induction Motor [4.1-4.16] 4.2.3 Direct and Indirect Field Oriented Control 4.2.4 Rotor and stator flux computation 4.2.5 Adaptive flux observer 4.2.6 Stator Flux Orientation 4.2.7 Field Weakening Control 4.3 Vector Control of Double Fed Induction Generator (DFIG) 4.3.1 Introduction 4.3.2 Vector Control of DFIG connected with the Grid (abModel) 4.3.3 Simulation Results 4.4 Control of Permanent Magnet Synchronous Machine 4.4.1 Introduction 4.4.2 Vector Control of PMSM in dq axis 4.4.3 Vector Control of PMSM in a-baxis using PI controller 4.4.4 Scalar Control of PMSM Exercises Additional tasks Possible tasks for DFIG References Chapter 5: XXXXXXXXXX Chapter 6: Nonlinear Control of Electrical Machines Using Nonlinear Feedback 6.1 Introduction 6.2 dynamic system linearization using non-linear feedback 6.3 Nonlinear Control of Separately Excited DC Motor 6.3.1 Matlab/Simulink Nonlinear Control Model 6.3.2 Nonlinear Control Systems 6.3.3 Speed Controller 6.3.4 Control for variable m 6.3.5 Field Current Controller 6.3.6 Simulation Results 6.4 Multiscalar model (MM) of induction motor 6.4.1 Multiscalar variables 6.4.2 Nonlinear linearization of induction motor fed by voltage controlled VSI 6.4.3 Design of system control 6.4.4 Nonlinear linearization of induction motor fed by current controlled VSI 6.4.5 Stator oriented nonlinear control system (based on Ys,is) 6.4.6 Rotor-Stator Fluxes based Model 6.4.7 Stator Oriented Multiscalar Model 6.4.8 Multiscalar Control of Induction Motor 6.4.9 Induction Motor Model 6.4.10 State Transformation 6.4.11 Decoupled IM Model 6.5 MM of double fed induction machine (DFIM) 6.6 Nonlinear Control of Permanent Magnet Synchronous Machine 6.6.1 Nonlinear Control of PMSM for a dq motor model 6.6.2 Nonlinear Vector Control of PMSM in a-baxis 6.6.3 PMSM in a-b(x-y) axis 6.6.4 Transformation 6.6.5 Control System 6.6.6 Simulation Results Problems References Chapter 7: Five-Phase Induction Motor Drive System 7.1 Preliminary remarks 7.2 Advantages and Applications of Multi-phase drives 7.3 Modelling and Simulation of a Five-phase Induction motor drive 7.3.1 Five-phase Induction motor model 7.3.1.1 Phase variable model 7.3.1.2 Model transformation 7.3.1.3 Machine model in an arbitrary common reference frame 7.3.1.4 Matlab/Simulink model of main fed five-phase induction motor drive 7.3.2 Five-phase Two-level Voltage source Inverter Model 7.3.2.A Ten-Step Mode of Operation 7.3.2.A.1 Fourier analysis of the five-phase inverter output voltages 7.3.2.A.2 Matlab/Simulink Modelling for Ten-step Mode 7.3.2.A.3 Prototype of a five-phase VSI for ten-step operation 7.3.2.A.4 Experimental Results for Ten-Step mode 7.3.2.A.5 PWM mode of operation of five-phase VSI 7.3.3 PWM Schemes of a Five-phase VSI 7.3.3.1 Carrier-based Sinusoidal PWM scheme 7.3.3.2 Matlab/Simulink simulation of Carrier-based sinusoidal PWM 7.3.3.3 5th Harmonic Injection Based pulse width modulation scheme 7.3.3.4 Matlab/Simulink simulation of 5th harmonic injection PWM 7.3.3.5 Offset addition based pulse width modulation scheme 7.3.3.6 Space Vector Pulse Width Modulation Scheme 7.3.3.7 Matlab/Simulink model of SVPWM 7.4 Indirect Rotor Field Oriented Control of Five-phase induction motor 7.4.1 Matlab/Simulink Model of Field oriented control of five-phase Induction machine 7.5 Field Oriented Control of Five-phase induction motor with current control in the Synchronous reference frame 7.6 Model Predictive Control (MPC) 7.6.1 MPC Applied to a Five-phase Two-Level VSI 7.6.2 Matlab/Simulink of MPC for Five-phase VSI 7.7 Summary 7.8 Bibliography Chapter 8: Sensorless Speed Control of AC Machines 8.1 Preliminary Remarks 8.2 Sensorless Control of Induction Motor 8.2.1 Observer 1 8.2.2 Observer 2 8.2.3 Observer 3 8.2.4 MRAS- (closed loop) speed estimator 8.2.5 The use of power measurements 8.3 Sensorless Control of PMSM 8.3.1 Control system of PMSM 8.3.2 Adaptive backstepping observer 8.3.3 Model Reference Adaptive System for PMSM 8.3.4 Simulation Results 8.4 MRAS-Based Sensorless Control of Five-Phase Induction Motor Drive 8.4.1 MRAS-BASED SPEED ESTIMATOR 8.4.2 Simulation Results References Chapter 9: Selected Problems of Induction Motor Drives with Voltage Inverter and Inverter Output Filters 9.1 Drives and filters - overview 9.2 Three phase to two phase transformations 9.3 Voltage and current common mode component 9.3.1 Matlab/Simulink model of induction motor drive with PWM inverter and common mode voltage 9.4 Induction motor common mode circuit 9.5 Bearing current types and reduction methods 9.5.1 Common mode choke 9.5.2 Common mode transformers 9.5.3 Common mode voltage reduction by PWM modifications 9.6 Inverter output filters 9.6.1 Selected structures of inverter output filters 9.6.2 Inverter output filters design 9.6.3 Motor choke 9.6.4 Matlab/Simulink model of induction motor drive with PWM inverter and differential mode (normal mode) LC filter 9.7 Estimation problems in the drive with filters 9.7.1 Introduction 9.7.2 Speed observer with disturbances model 9.7.3 Simple observer based on motor stator models 9.8 Motor control problems in the drive with filters 9.8.1 Introduction 9.8.2 Field oriented control 9.8.3 Nonlinear field oriented control 9.8.4 Nonlinear multiscalar control 9.9 Predictive current control in the drive system with output filter 9.9.1 Control system 9.9.2 Predictive current controller 9.9.3 EMF estimation technique 9.10 Problems 9.11 Questions 9.12 References Index…”

Tabla de Contenidos: “…1.13.3 Method 3: Reduction to Normal or Canonical Form by Elementary Transformations -- 1.13.4 Rank of a Product of Matrices -- 1.13.5 Method 4: Reduction of an m × n Matrix to a Normal Form by Finding Nonsingular Matrices P and Q Such That PAQ = N -- 1.13.6 Method 5: Reduction of Matrix A to Echelon Form -- Exercise 1.4 -- 1.14 Existence and Uniqueness of Solutions of a System of Linear Equations -- 1.14.1 The System of NH Equations: Consistency and Inconsistency -- 1.14.2 Existence of a Unique Solution for NH System of n Equations in n Unknowns -- 1.14.3 Existence of a Solution for NH System of m Equations in n Unknowns -- 1.14.4 Solutions of NH and H Systems of Equations -- 1.15 Methods of Solution of NH and H Equations -- 1.15.1 Method 1: Method of Determinants (Cramer's Rule) -- 1.15.2 Method 2: Method of Matrix Inversion (or Adjoint Method) -- 1.15.3 Method 3: Gauss's Elimination Method -- 1.15.4 Method 4: Gauss-Jordan Elimination Method -- 1.15.5 Method 5: LU Decomposition (Triangular Decomposition) Method -- 1.15.6 Tridiagonal System: Solution by LU Decomposition Method -- 1.16 Homogeneous System of Equations (H) -- Exercise 1.5 -- Chapter 2: Eigenvalues and Eigenvectors -- 2.1 Introduction -- 2.1.1 Matrix Polynomial -- 2.2 Linear Transformation -- 2.3 Characteristic Value Problem -- 2.3.1 Characteristic Equation of Matrix A -- 2.3.2 Spectrum of A -- 2.3.3 Procedure for Finding Eigenvalues and Eigenvectors -- Exercise 2.1 -- 2.4 Properties of Eigenvalues and Eigenvectors -- 2.4.1 Characteristic Polynomial Pn(l) -- 2.5 Cayley-Hamilton Theorem -- 2.5.1 Inverse of a Matrix by Cayley-Hamilton Theorem -- Exercise 2.2 -- 2.6 Reduction of a Square Matrix to Diagonal Form -- 2.6.1 Diagonalisation-Powers of a Square Matrix A -- 2.6.2 Modal Matrix and Spectral Matrix of a Square Matrix A -- 2.6.3 Similarity of Matrices…”

Tabla de Contenidos: “…SAN features -- 3.1 Fabric implementation -- 3.1.1 Blocking -- 3.1.2 Ports -- 3.1.3 Fabric topologies -- 3.1.4 Point-to-point -- 3.1.5 Arbitrated loop -- 3.1.6 Switched fabric -- 3.1.7 Inter Switch Links -- 3.1.8 Adding new devices -- 3.2 Classes of service -- 3.2.1 Class 1 -- 3.2.2 Class 2 -- 3.2.3 Class 3 -- 3.2.4 Class 4 -- 3.2.5 Class 5 -- 3.2.6 Class 6 -- 3.2.7 Class F.…”

“…Windows Server 2008: The Definitive Guide takes a refreshing approach. You won't f…”

Tabla de Contenidos: “…Seltzer -- 13.1 Introduction 347 -- 13.2 Traditional Training Methods for Robust Speech Recognition 348 -- 13.3 A Brief Overview of Speaker Adaptive Training 349 -- 13.4 Feature-Space Noise Adaptive Training 351 -- 13.4.1 Experiments using fNAT 352 -- 13.5 Model-Space Noise Adaptive Training 353 -- 13.6 Noise Adaptive Training using VTS Adaptation 355 -- 13.6.1 Vector Taylor Series HMM Adaptation 355 -- 13.6.2 Updating the Acoustic Model Parameters 357.…”

Tabla de Contenidos: “…oblīvīscor -- ŏboedĭō -- obŏlus -- obscenus -- obscūrus -- ŏctō -- ŏcŭlus -- ōdī -- oecŏnŏmĭa -- offĭcĭum -- ŏlĕō -- ŏlĕum -- ŏlīva -- Olympĭa -- omnis -- ŏnŭs -- ŏpĕrĭō -- ops -- ŏpīnor -- optĭō -- ŏpus -- ōra -- orbis -- ordalĭa -- ōrdĭor -- ōrdo -- ŏrgănum -- orgĭa -- ŏrĭor -- ōrnō -- ōrō -- orphănus -- Orphĕūs -- orthodoxus -- ōs -- ōscŭlum -- ŏs -- ōstĭum -- ōtĭum -- ŏvō -- P -- paedăgōgus -- paelex -- paenĭtet -- paenūrĭa -- pāgĭna -- pāgus -- Pălātĭum -- Pălēs -- palimpsestus -- pallĭum -- palma -- palūdāmentum -- pālus -- Pān -- Pandectae -- pandō -- pănēgy̆rĭcus -- pangō -- pānis -- panthĕŏn -- pāpĭlĭō -- pap[p]a -- păpȳrus -- pār -- parabŏla -- Părăclētus -- părădigma -- părădīsus -- părădoxŏn -- părăgrăphus -- părăphrăsis -- părănymphus -- parasītus -- Parca -- parcō -- părēns -- părĭō -- părochĭa -- pars -- Parthĕnōn -- parvus -- pascha -- pāscō -- pătēna -- pătĕō -- pătĕr -- pătĭor -- pătrō -- paucus -- paul[l]us -- paupĕr -- pausa -- păvĕō -- pāx -- pĕccō -- pĕctŭs -- pĕcū -- pĕcūlĭum -- pĕcūnĭa -- pēĭor -- pĕlăgus -- pĕllis -- pellō -- pendō -- pĕnĕtrō -- pentĕcostē -- pĕnus -- pĕplum -- Pergămum -- pĕrīcŭlum -- pĕrītus -- pĕrna -- persōna -- pēs -- pĕtō -- pĕtra -- Petrus -- phalanx -- phantăsĭa -- Phărăō[n] -- phĭlŏlŏgus -- phĭlŏsŏphĭa -- phrăsis -- phrĕnēsis -- phy̆lăca -- phy̆sĭcus -- pĭger -- pignŭs -- pĭlus -- pingō -- pīrāta -- pittacĭum -- pĭus -- plăcĕō -- plācō -- plăgĭum -- planta -- plaudō -- plēbs -- plectō -- Plēĭădes -- -plĕō -- plĕōnasmus -- plĭcō -- plōrō -- plūma -- plŭō -- plus -- pŏdĭum -- poena -- pŏēta -- pŏlītĭcus -- pollŭō -- pŏly̆gamĭa -- pŏmpa -- pōmus -- pōns -- pŏpŭlus -- pŏrta -- portĭō -- portō -- pŏrtŭs -- possum -- pŏst -- postŭlō -- pŏtēns -- pŏtis[-e] -- practĭcē -- praecō -- praeda -- praedĭum -- praesens -- praetŏr -- pragmătĭcus -- pravus -- prĕhendō -- premō -- presby̆ter -- prĕtĭum -- prex…”